{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART manuscript models.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Jun 2022, 15:04:15
{txt}
{com}. 
. 
. 
. 
. 
. *** MODELING THE EFFECTS OF CENTRALIZED REPORTING ON THE HANDLING OF EMPLOYEE DISCRIMINATION CASES IN U.S. FEDERAL AGENCIES [KRAUSE & PARK] ***
. 
. 
. 
. 
. **** ACCESS DATABASE ***
. 
. use "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\CROAs.Krause&Park.06-08-2022.dta", replace
{txt}
{com}. 
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. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. 
. *** TESTING H1: EVALUATING THE TOTAL NUMBER OF REPORTED DISCRIMINATION CASES [EVENT COUNT OUTCOME EXPONENTIAL MODEL) ****  
. 
. 
. 
. 
. ****  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON AGGREGATE COUNTS OF REPORTED CASES OF DISCRIMINATION ///
> ****  [I.E., # SETTLEMENTS (INFORMAL) + # WITHDRAWN (INFORMAL) + # FORMAL COMPLAINT FILED DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.582e-20}  
Iteration 1:{space 3}EE criterion = {res: 3.940e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       506
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}sumintextr~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 183.1212{col 26}{space 2} 60.27567{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} 64.98309{col 67}{space 3} 301.2594
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} 75.24972{col 26}{space 2} 19.42887{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} 37.16983{col 67}{space 3} 113.3296
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1         {txt}{c |}
lagsuminte~t {c |}{col 14}{res}{space 2} .0011372{col 26}{space 2} .0006496{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0001359{col 67}{space 3} .0024103
{txt}fairnessgsem {c |}{col 14}{res}{space 2} .6505887{col 26}{space 2} .3024095{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4}  .057877{col 67}{space 3}   1.2433
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2}-.5347214{col 26}{space 2} .3204926{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-1.162875{col 67}{space 3} .0934326
{txt}ratio_mins~p {c |}{col 14}{res}{space 2} .0552322{col 26}{space 2} .1605811{col 37}{space 1}    0.34{col 46}{space 3}0.731{col 54}{space 4} -.259501{col 67}{space 3} .3699654
{txt}lntotworkf~t {c |}{col 14}{res}{space 2}-.0966969{col 26}{space 2} .0986992{col 37}{space 1}   -0.98{col 46}{space 3}0.327{col 54}{space 4}-.2901437{col 67}{space 3} .0967499
{txt}{space 3}nonnested {c |}{col 14}{res}{space 2}  .771444{col 26}{space 2} .2648036{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .2524384{col 67}{space 3}  1.29045
{txt}politiciz~lb {c |}{col 14}{res}{space 2}-1.152442{col 26}{space 2} 1.998321{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-5.069079{col 67}{space 3} 2.764194
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.007668{col 26}{space 2} .8661083{col 37}{space 1}    1.16{col 46}{space 3}0.245{col 54}{space 4}-.6898727{col 67}{space 3}  2.70521
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2}-.8286616{col 26}{space 2} .2499172{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4} -1.31849{col 67}{space 3}-.3388329
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .2409797{col 26}{space 2} .2213992{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.1929547{col 67}{space 3} .6749141
{txt}ratio_mins~p {c |}{col 14}{res}{space 2}  .035019{col 26}{space 2} .0863066{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4}-.1341389{col 67}{space 3} .2041769
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .8802122{col 26}{space 2} .0563115{col 37}{space 1}   15.63{col 46}{space 3}0.000{col 54}{space 4} .7698438{col 67}{space 3} .9905807
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.578153{col 26}{space 2} .6400538{col 37}{space 1}   -7.15{col 46}{space 3}0.000{col 54}{space 4}-5.832635{col 67}{space 3}-3.323671
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2}-.7469077{col 26}{space 2} .1750218{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4}-1.089944{col 67}{space 3}-.4038713
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .3297854{col 26}{space 2} .1167897{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .1008817{col 67}{space 3}  .558689
{txt}ratio_mins~p {c |}{col 14}{res}{space 2}-.0671799{col 26}{space 2} .0819968{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.2278907{col 67}{space 3}  .093531
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .8701686{col 26}{space 2} .0501565{col 37}{space 1}   17.35{col 46}{space 3}0.000{col 54}{space 4} .7718637{col 67}{space 3} .9684735
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.112484{col 26}{space 2}  .612168{col 37}{space 1}   -5.08{col 46}{space 3}0.000{col 54}{space 4}-4.312311{col 67}{space 3}-1.912657
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.613387{col 26}{space 2} .5169462{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-2.626583{col 67}{space 3}-.6001912
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.9637827{col 26}{space 2} .3500253{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4} -1.64982{col 67}{space 3}-.2777457
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}   15.26
{txt}{col 10}Prob > chi2 =  {res}  0.0005
{txt}
{com}. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.582e-20}  
Iteration 1:{space 3}EE criterion = {res: 3.802e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       506
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}sumintextr~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 182.4055{col 26}{space 2} 64.76627{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} 55.46591{col 67}{space 3}  309.345
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} 54.18787{col 26}{space 2} 29.25263{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-3.146245{col 67}{space 3}  111.522
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H1ATET
{txt}
{com}. *
. 
. graph set window fontface "Century Schoolbook"
{txt}
{com}. set scheme sj, permanently
{txt}({cmd:set scheme} preference recorded)

{com}. 
. coefplot (H1ATE, rename(r1vs0.direct_reporting="ATE") \ H1ATET, rename(r1vs0.direct_reporting="ATET")),ylabel(-50 (100) 400, angle(horizon)) yscale(range (-50 (100) 400)) bylabel(Total Caseloads) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dkgreen)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(dkgreen) title("Figure 2A" "Total Number of Reported Discrimination", size(medlarge)) saving("Figure2A")
{res}{txt}(file Figure2A.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-1.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-1.gph saved)

{com}. 
. 
. 
.  
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. *** TESTING H2: EVALUATING THE PROPORTION OF PRIVATE RESOLUTION CASES: TOTAL, SETTLEMENT ONLY, & WITHDRAWN ONLY [FRACTIONAL PROBIT OUTCOME MODEL) ****  
. 
. 
. 
. 
. 
. **** ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF TOTAL PRIVATE RESOLUTION WITHIN AGENCY ///
> **** [I.E., (# SETTLEMENTS + # WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.402e-20}  
Iteration 1:{space 3}EE criterion = {res: 2.842e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} intrep_prop{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .3119576{col 26}{space 2} .0988704{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .1181751{col 67}{space 3} .5057401
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .2338172{col 26}{space 2}  .053398{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4}  .129159{col 67}{space 3} .3384754
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1         {txt}{c |}
lagintrep_~p {c |}{col 14}{res}{space 2} .8872895{col 26}{space 2} .4582633{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0108901{col 67}{space 3} 1.785469
{txt}fairnessgsem {c |}{col 14}{res}{space 2} .5520806{col 26}{space 2}  .300666{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0372139{col 67}{space 3} 1.141375
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2}-.4820549{col 26}{space 2}  .313848{col 37}{space 1}   -1.54{col 46}{space 3}0.125{col 54}{space 4}-1.097186{col 67}{space 3} .1330759
{txt}ratio_mins~p {c |}{col 14}{res}{space 2} .0338652{col 26}{space 2} .1570232{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4}-.2738947{col 67}{space 3} .3416251
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .0798941{col 26}{space 2} .0774257{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.0718574{col 67}{space 3} .2316457
{txt}{space 3}nonnested {c |}{col 14}{res}{space 2} .8269823{col 26}{space 2} .2697917{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .2982004{col 67}{space 3} 1.355764
{txt}politiciz~lb {c |}{col 14}{res}{space 2}-1.500092{col 26}{space 2} 2.230227{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-5.871256{col 67}{space 3} 2.871072
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7455394{col 26}{space 2} .7787623{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-2.271886{col 67}{space 3} .7808067
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2}-.0649217{col 26}{space 2} .1872138{col 37}{space 1}   -0.35{col 46}{space 3}0.729{col 54}{space 4} -.431854{col 67}{space 3} .3020107
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .1976764{col 26}{space 2}  .158711{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.1133913{col 67}{space 3} .5087442
{txt}ratio_mins~p {c |}{col 14}{res}{space 2} -.035634{col 26}{space 2} .0769465{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-.1864464{col 67}{space 3} .1151783
{txt}lntotworkf~t {c |}{col 14}{res}{space 2}-.0423922{col 26}{space 2} .0490977{col 37}{space 1}   -0.86{col 46}{space 3}0.388{col 54}{space 4}-.1386218{col 67}{space 3} .0538374
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5805888{col 26}{space 2} .3909177{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4}-1.346773{col 67}{space 3} .1855958
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2}-.2166887{col 26}{space 2} .1600775{col 37}{space 1}   -1.35{col 46}{space 3}0.176{col 54}{space 4}-.5304348{col 67}{space 3} .0970574
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .1670676{col 26}{space 2} .1314101{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.0904914{col 67}{space 3} .4246266
{txt}ratio_mins~p {c |}{col 14}{res}{space 2}-.0463997{col 26}{space 2}  .041946{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.1286124{col 67}{space 3}  .035813
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .0030409{col 26}{space 2} .0288615{col 37}{space 1}    0.11{col 46}{space 3}0.916{col 54}{space 4}-.0535267{col 67}{space 3} .0596085
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0281038{col 26}{space 2} .3615468{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.6805149{col 67}{space 3} .7367225
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.139402{col 26}{space 2} .4961582{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-2.111855{col 67}{space 3}-.1669502
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.7521618{col 26}{space 2} .4574489{col 37}{space 1}   -1.64{col 46}{space 3}0.100{col 54}{space 4}-1.648745{col 67}{space 3} .1444216
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H2ATE
{txt}
{com}. * 
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    6.02
{txt}{col 10}Prob > chi2 =  {res}  0.0492
{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.402e-20}  
Iteration 1:{space 3}EE criterion = {res: 1.891e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} intrep_prop{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .3274441{col 26}{space 2} .0929231{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .1453181{col 67}{space 3} .5095701
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .1071119{col 26}{space 2} .0853097{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4} -.060092{col 67}{space 3} .2743157
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H2ATET
{txt}
{com}. *
. 
. coefplot (H2ATE, rename(r1vs0.direct_reporting="H2 ATE") \ H2ATET, rename(r1vs0.direct_reporting="H2 ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dknavy)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(dknavy) title("Figure 2B" "Informal Caseload Rate", size(medlarge)) saving ("Figure2B")
{res}{txt}(file Figure2B.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-2.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-2.gph saved)

{com}. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.A:  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF WITHDRAWN PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.851e-20}  
Iteration 1:{space 3}EE criterion = {res: 3.550e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}withdraw_p~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2881214{col 26}{space 2} .0970276{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0979507{col 67}{space 3}  .478292
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .1886406{col 26}{space 2} .0387314{col 37}{space 1}    4.87{col 46}{space 3}0.000{col 54}{space 4} .1127284{col 67}{space 3} .2645527
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1         {txt}{c |}
lagwithdra~p {c |}{col 14}{res}{space 2} .8268518{col 26}{space 2} .4003069{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0422647{col 67}{space 3} 1.611439
{txt}fairnessgsem {c |}{col 14}{res}{space 2} .5633391{col 26}{space 2} .3005527{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4}-.0257334{col 67}{space 3} 1.152412
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2}-.4833374{col 26}{space 2} .3124202{col 37}{space 1}   -1.55{col 46}{space 3}0.122{col 54}{space 4} -1.09567{col 67}{space 3}  .128995
{txt}ratio_mins~p {c |}{col 14}{res}{space 2} .0293492{col 26}{space 2} .1556214{col 37}{space 1}    0.19{col 46}{space 3}0.850{col 54}{space 4}-.2756631{col 67}{space 3} .3343615
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .0789677{col 26}{space 2}   .07773{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0733803{col 67}{space 3} .2313157
{txt}{space 3}nonnested {c |}{col 14}{res}{space 2} .8162017{col 26}{space 2} .2704858{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .2860592{col 67}{space 3} 1.346344
{txt}politiciz~lb {c |}{col 14}{res}{space 2}-1.328215{col 26}{space 2} 2.266819{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4}  -5.7711{col 67}{space 3} 3.114669
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.633934{col 26}{space 2} .7728296{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-2.148652{col 67}{space 3} .8807842
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2} .0204681{col 26}{space 2} .1542585{col 37}{space 1}    0.13{col 46}{space 3}0.894{col 54}{space 4} -.281873{col 67}{space 3} .3228093
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .1392706{col 26}{space 2} .1197858{col 37}{space 1}    1.16{col 46}{space 3}0.245{col 54}{space 4}-.0955052{col 67}{space 3} .3740464
{txt}ratio_mins~p {c |}{col 14}{res}{space 2} .0203997{col 26}{space 2} .0509527{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4}-.0794657{col 67}{space 3} .1202651
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .0284183{col 26}{space 2} .0352618{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.0406935{col 67}{space 3} .0975302
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.305671{col 26}{space 2} .3110439{col 37}{space 1}   -4.20{col 46}{space 3}0.000{col 54}{space 4}-1.915306{col 67}{space 3}-.6960361
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2}-.3041787{col 26}{space 2} .1716034{col 37}{space 1}   -1.77{col 46}{space 3}0.076{col 54}{space 4}-.6405151{col 67}{space 3} .0321577
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .1766287{col 26}{space 2} .1462588{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-.1100333{col 67}{space 3} .4632908
{txt}ratio_mins~p {c |}{col 14}{res}{space 2}-.0378091{col 26}{space 2} .0497226{col 37}{space 1}   -0.76{col 46}{space 3}0.447{col 54}{space 4}-.1352636{col 67}{space 3} .0596454
{txt}lntotworkf~t {c |}{col 14}{res}{space 2}-.0068632{col 26}{space 2} .0301344{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.0659255{col 67}{space 3} .0521991
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0736607{col 26}{space 2} .3802617{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4}-.8189599{col 67}{space 3} .6716385
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.8229914{col 26}{space 2} .3481322{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4}-1.505318{col 67}{space 3}-.1406647
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.8485556{col 26}{space 2} .4776595{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-1.784751{col 67}{space 3} .0876398
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    6.09
{txt}{col 10}Prob > chi2 =  {res}  0.0477
{txt}
{com}. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 8.851e-20}  
Iteration 1:{space 3}EE criterion = {res: 2.236e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}withdraw_p~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2424365{col 26}{space 2} .0682691{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .1086316{col 67}{space 3} .3762415
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .1062658{col 26}{space 2} .0608704{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0130379{col 67}{space 3} .2255695
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3aATET
{txt}
{com}. *
. 
. coefplot (H3aATE, rename(r1vs0.direct_reporting="H3a ATE") \ H3aATET, rename(r1vs0.direct_reporting="H3a ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dkorange)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(dkorange) title("Figure 2C" "Withdrawn Caseload Rate", size(medlarge)) saving ("Figure2C")
{res}{txt}(file Figure2C.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-3.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-3.gph saved)

{com}. 
. 
. 
.  
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.B: ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF SETTLEMENT PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# SETTLEMENTS) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.722e-17}  
Iteration 1:{space 3}EE criterion = {res: 3.063e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} settle_prop{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE          {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0125498{col 26}{space 2}   .07685{col 37}{space 1}    0.16{col 46}{space 3}0.870{col 54}{space 4}-.1380735{col 67}{space 3}  .163173
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0765916{col 26}{space 2} .0527807{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0268567{col 67}{space 3} .1800399
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1         {txt}{c |}
lagsettle_~p {c |}{col 14}{res}{space 2} .3694351{col 26}{space 2} .7809922{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-1.161282{col 67}{space 3} 1.900152
{txt}fairnessgsem {c |}{col 14}{res}{space 2} .5650318{col 26}{space 2}  .298676{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0203623{col 67}{space 3} 1.150426
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2}-.4689064{col 26}{space 2} .3130874{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-1.082546{col 67}{space 3} .1447336
{txt}ratio_mins~p {c |}{col 14}{res}{space 2} .0387325{col 26}{space 2} .1555487{col 37}{space 1}    0.25{col 46}{space 3}0.803{col 54}{space 4}-.2661373{col 67}{space 3} .3436023
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .0879195{col 26}{space 2} .0775595{col 37}{space 1}    1.13{col 46}{space 3}0.257{col 54}{space 4}-.0640943{col 67}{space 3} .2399333
{txt}{space 3}nonnested {c |}{col 14}{res}{space 2} .8586154{col 26}{space 2} .2710482{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .3273707{col 67}{space 3}  1.38986
{txt}politiciz~lb {c |}{col 14}{res}{space 2}-1.207416{col 26}{space 2}  2.28713{col 37}{space 1}   -0.53{col 46}{space 3}0.598{col 54}{space 4}-5.690108{col 67}{space 3} 3.275276
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5025213{col 26}{space 2} .7791141{col 37}{space 1}   -0.64{col 46}{space 3}0.519{col 54}{space 4}-2.029557{col 67}{space 3} 1.024514
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2}-.0394871{col 26}{space 2} .2786771{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.5856842{col 67}{space 3}   .50671
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .0893459{col 26}{space 2} .1783833{col 37}{space 1}    0.50{col 46}{space 3}0.616{col 54}{space 4}-.2602789{col 67}{space 3} .4389708
{txt}ratio_mins~p {c |}{col 14}{res}{space 2}-.0932003{col 26}{space 2} .0832363{col 37}{space 1}   -1.12{col 46}{space 3}0.263{col 54}{space 4}-.2563405{col 67}{space 3} .0699399
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} -.121997{col 26}{space 2} .0725851{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-.2642612{col 67}{space 3} .0202672
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4419203{col 26}{space 2} .5470447{col 37}{space 1}   -0.81{col 46}{space 3}0.419{col 54}{space 4}-1.514108{col 67}{space 3} .6302676
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1         {txt}{c |}
fairnessgsem {c |}{col 14}{res}{space 2} .1270218{col 26}{space 2}  .194335{col 37}{space 1}    0.65{col 46}{space 3}0.513{col 54}{space 4}-.2538679{col 67}{space 3} .5079115
{txt}ratio_fsup~p {c |}{col 14}{res}{space 2} .0278635{col 26}{space 2} .1487887{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4} -.263757{col 67}{space 3} .3194841
{txt}ratio_mins~p {c |}{col 14}{res}{space 2}-.0398192{col 26}{space 2}    .0314{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.1013621{col 67}{space 3} .0217236
{txt}lntotworkf~t {c |}{col 14}{res}{space 2} .0245875{col 26}{space 2} .0269726{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.0282779{col 67}{space 3} .0774528
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.574145{col 26}{space 2} .3660525{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-2.291594{col 67}{space 3} -.856695
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.4170562{col 26}{space 2} .8830936{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-2.147888{col 67}{space 3} 1.313776
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1        {txt}{c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.0733508{col 26}{space 2} .5365948{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-1.125057{col 67}{space 3} .9783557
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    0.22
{txt}{col 10}Prob > chi2 =  {res}  0.8944
{txt}
{com}. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=., vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.722e-17}  
Iteration 1:{space 3}EE criterion = {res: 3.015e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       501
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} settle_prop{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET         {txt}{c |}
direct_rep~g {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0316289{col 26}{space 2} .0907824{col 37}{space 1}    0.35{col 46}{space 3}0.728{col 54}{space 4}-.1463014{col 67}{space 3} .2095591
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean       {txt}{c |}
direct_rep~g {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0542314{col 26}{space 2} .0880565{col 37}{space 1}    0.62{col 46}{space 3}0.538{col 54}{space 4}-.1183561{col 67}{space 3} .2268189
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3bATET
{txt}
{com}. *
. 
. coefplot (H3bATE, rename(r1vs0.direct_reporting="H3b ATE") \ H3bATET, rename(r1vs0.direct_reporting="H3b ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) bylabel(Internal Caseloads) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(cranberry)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(cranberry) title("Figure 2D" "Settlement Caseload Rate", size(medlarge)) saving("Figure2D")
{res}{txt}(file Figure2D.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-4.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure2-4.gph saved)

{com}. 
. 
. gr combine Figure2A.gph Figure2B.gph Figure2C.gph Figure2D.gph, note("Point Estimates and Corresponding 95% Confidence Intervals", j(right) place(seast) size(vsmall))
{res}{txt}
{com}. 
. 
. 
. *********Figure 3 Graph *********
. drop if intrep_prop==.
{txt}(7 observations deleted)

{com}. drop if lagsumintextreport_count==.
{txt}(2 observations deleted)

{com}. 
. ***** Preparing variables ******
. generate directreporting=1 if direct_reporting==0
{txt}(300 missing values generated)

{com}. replace directreporting=2 if direct_reporting==1
{txt}(300 real changes made)

{com}. 
. generate of=1 if fairnessgsem < -0.0520733
{txt}(337 missing values generated)

{com}. replace of=2 if fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207
{txt}(168 real changes made)

{com}. replace of=3 if fairnessgsem >= 0.243207
{txt}(169 real changes made)

{com}. 
. graph bar (count) a_id, over(directreporting, relabel (1 "Non-CROA" 2 "CROA")) over(of, relabel(1 "Low OF" 2 "Moderate OF" 3 "High OF")) ytitle("") ylabel (0(50)150, labsize (small) angle(horizon)) blabel (total, position(outside) format (%9.0gc)) title ("Prevalence of CROAs and Non-CROAs") subtitle("by Organizational Fairness(OF)") bar(1, color(black*0.5))
{res}{txt}
{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure3.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure3.gph saved)

{com}. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART manuscript models.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Jun 2022, 15:04:26
{txt}{.-}
{smcl}
{txt}{sf}{ul off}